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j-hartmann
/
ambiguity-distilroberta-base

Text Classification
Transformers
PyTorch
English
roberta
distilroberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use j-hartmann/ambiguity-distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use j-hartmann/ambiguity-distilroberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="j-hartmann/ambiguity-distilroberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("j-hartmann/ambiguity-distilroberta-base")
    model = AutoModelForSequenceClassification.from_pretrained("j-hartmann/ambiguity-distilroberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
ambiguity-distilroberta-base
332 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
j-hartmann's picture
j-hartmann
Update README.md
f7df6a2 almost 4 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • README.md
    148 Bytes
    Update README.md almost 4 years ago
  • config.json
    856 Bytes
    Update config.json almost 4 years ago
  • merges.txt
    456 kB
    first upload almost 5 years ago
  • pytorch_model.bin
    329 MB
    xet
    update with new training data almost 4 years ago
  • special_tokens_map.json
    280 Bytes
    update with new training data almost 4 years ago
  • tokenizer.json
    2.11 MB
    update with new training data almost 4 years ago
  • tokenizer_config.json
    386 Bytes
    update with new training data almost 4 years ago
  • training_args.bin
    3.25 kB
    xet
    update with new training data almost 4 years ago
  • vocab.json
    798 kB
    first upload almost 5 years ago